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Research Data Management



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  • As you know researchers generate an increasing volume of complex data. Within an environment which has its own governance, infrastructure and services. Policies and Statutory Requirements: The Bond Code of Conduct for Research Policy - now incorporates best practice points for data management;Funder mandates have to be taken into consideration;The Australian Code for the Responsible Conduct of Research is mandatory reading. InfrastructureORS assists researchers with Grant compliance and Ethical issues Registries and repositories – in Australia and world wideData deposit, or at least data description and access information. More about this later.Data sharing – this is the objective. Allowing data sharing through repositories builds networks for future collaboration. ServicesLibrary ServicesTraining and support …Data descriptionMetadata adviceReferral to Subject specialists – our Faculty Librarians
  • FRAMEWORKBond Library Services in hand with ORS aims to set up a framework of best practice for research data management with the following basic characteristics:Recognising research data as a valuable productImproving the efficiency of research data management within the institutionSupporting the evolving global data-intensive research environmentMaking data available for sharing, validation and re-useRespecting relevant legislation, guidelines & codes – such as the Australian Code for Responsible Conduct of Research
  • There is a growing recognition that researchers need to manage this output of data. To assist the following exist:University Policy – Code of Conduct for Research – now has Research Data Management sections covering Storage, Retention, Access and reuse. Directresearchers to the Library Services Toolkit.The code Section 2 ‘Management of research data and primary materials’ covers the responsibilities of institutions and the responsibilities of researchers. The aim of open access – to share, validate and re-use data
  • The Australian Code for the Responsible Conduct of Research cites ‘good stewardship of publicresources used to conduct research’ as one of the key pillars of a strong research culture. Well-managed data is much easier to share
  • Research Data Management toolkit can help with Managing data (data description)Ethical clearances and complianceStorage/backup and security arrangementsSharing arrangementsArchiving and data destructionData ownership and rights
  • A data management plan should be created at the start of a research project so that good practices are established early.   A plan will assist your research team to:   § comply with relevant policies and legislation § comply with the requirements of grant-making bodies § comply with standard industrial practices.
  • Research data means data in the form of:Facts, observations, images, computer program results, surveys, recordings measurements or experiences  on which an argument, theory, test or hypothesis, or another research output is based Data may be numerical, descriptive or visual. It may be raw, cleaned or processed, and may be held in any format or media. Ask them what type of data they have.
  • Research data is valuable for a number of reasons. Firstly it has value to researchers for the duration of their research. It may also have residual value to those researchers after results have been published, as well as value for other researchers or the wider community. Given the investment by Bond University (and the funding body involved) in the research, data needs to be carefully managed to accessible for use and reuse, in ways that satisfy legal, statutory and funding bodies’ requirements. Researchers, institutions, data repositories, funders and journals each have key roles to play…researchers – responsibility for developing and implementing data management plans in line with funding and other requirements institutions need to set clear institutional policiessupport researchers in data planningmaintain strategic overview of data assetsrepositories – preserve and curate key datasets, in line with community standardsfunders – meet the costs of data sharing associated with research they support journals – encourage dissemination of, and access to data underlying published research
  • Live demonstration
  • Research data management continuum: Library Services and the Office of Research Services are at the centre. (source: University of Oxford)All the processes and actions required to manage data throughout the research lifecycle to enable it to be preserved and accessible by a controlled audience for current and future research. This embraces curatorial care, including preservation and archiving which may be managed through institutional and national repositories such as e-pubs and RDA
  • Build your profile: social networking, and PRPs
  • Online communication tools: Skype, Google groups,
  • Bond University collection – explain interfaceDo a search in Research Data Australia that is relevant to the group. Ask for topic suggestions. (Example: genetic brain disorders)
  • Live demonstration of Data Collections series
  • In summary Library Services can work with you in the following ways>>>


  • 1. Research Data Management @ Bond University Antoinette Cass & Jasna Romic Research Data Management Library Services March 2013
  • 2. Data Management Environment & Stakeholders Office of Research Policies and Statutory Requirements • Governance Bond University Policy • Registries/Repositories • Ethics ‘The Code’ Researchers • Grant compliance • Funder mandates • • Data deposit Data sharing Infrastructure Services Library • Training and support for data management planning • Data description • Metadata advice • Referral
  • 3. Research Data Management @ Bond • Introduction to Research Data Management • What’s happening at Bond?
  • 4. Best Practice Framework • Recognising research data as a valuable product • Improving efficiency of research • Supporting the global research environment • Making data available for sharing, validation and re-use • Respecting relevant legislation, funding guidelines and codes By Michael Kreil
  • 5. Foundations of best practice • Bond University Policy - TLR 5.06 • • • • Storage Retention Access and Re-use RDM Toolkit • The Code • Data Sharing, Ethics & Consent • Open Access and funding policies
  • 6. The Australian Code for the Responsible Conduct of Research
  • 7. Ethics, consent and data sharing Sharing data that relates to people can be achieved using a combination of: • Obtaining consent • Anonymising data • Regulating data access Open access and funding policies As of 1st January 2013, two of Australia’s major research funding bodies – • The National Health and Medical Research Council (NHMRC) and • The Australian Research Council (ARC) Have both implemented open access policies which are now in effect.
  • 8. • Management  • Sustainability  • Collaboration 
  • 9.  Management Manage RDM Toolkit Ownership & Rights Policy & Ethics Storage & Backup Share
  • 10.  Data Management Checklist • This template is a good starting point for your data planning. It covers all the aspects of research data you will need to consider prior to starting your research project.
  • 11.  What is Research Data? Research data is anything in any form that supports a research argument, theory, findings or conclusions. • • • • • • • Data files (SPSS, text, csv., xls, xml) Images Surveys Videos Transcripts Observations Measurements
  • 12.  Management activities All activities necessary for creating well-managed data such as data organisation, security, curation, storage, backups and preservation, data sharing or publishing. Why you should care about it? • • • • Data is a valuable product of the research process Data can be difficult or impossible to reproduce Data can be lost Some funding bodies are requesting that data be made publically available • More journals are providing access to data associated with publications
  • 13.  Research Data Storage Consideration Length of time storage required Technical obsolescence Impact of loss/failure Technical support Security issues
  • 14.  Data Management Toolkit Guidelines
  • 15.  Research Data Management Continuum
  • 16.  Sustainability Keep up to date Set up alerts, RSS feeds… Seek help from the Library Build your research profile
  • 17.  Collaboration • • • • • • • • Bond Personal Researcher Pages Conferences Organisations Online communities Social networking Workshops Share references Online communication tools
  • 18. Summary of benefits Visibility • • • • • Get credit for your data collections Expand collaboration Allow for data re-use Increase citations Minimise risk of data loss
  • 19. Discovery • • • • Improved discovery and exposure of your data Improved discovery and potential re-use of your data The ability to more easily replicate and build on your data Discover the data of other researchers more easily
  • 20. Research Data Australia - RDA • Is an online portal for research data • Aims to increase the visibility of research data • Ensures that access to data continues to be managed by researchers • Join other Bond researchers and have your data showcased in RDA
  • 21. e-publications@bond
  • 22. Working With You • Talking with research staff and students to find out about and assist with research data management practices • Attending to all RDM queries through our dedicated mailbox • Improving the information toolkit to help assist staff with management of research data • Continuing showcase Bond University datasets by describing them in Research Data Australia and e-publications@bond
  • 23. Thank you!